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Information Technology 🏢 Full Time ⭐️ Verified

Senior Software Engineer - Project 2026

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are on the precipice of a technological revolution, and Project 2026 is our flagship initiative to define the future of synthetic intelligence. Nexus Dynamics is seeking a visionary Senior Software Engineer to lead the architectural design of our next-generation neural networks and autonomous systems.

In this role, you won't just be writing code; you will be architecting the infrastructure that powers the simulations of tomorrow. You will collaborate with world-class researchers and engineers to deploy scalable, high-performance solutions that push the boundaries of what is possible in 2026 and beyond.

Why Join Us?
• Work on cutting-edge AI infrastructure.
• Competitive compensation and equity packages.
• Flexible remote-first culture with premium office amenities.

Responsibilities

  • Lead the architectural design and implementation of core components for Project 2026, focusing on scalability and low-latency performance.
  • Drive the adoption of best practices in cloud-native development, utilizing AWS and Kubernetes.
  • Collaborate with cross-functional teams (AI researchers, data scientists, product managers) to translate research into production-grade software.
  • Mentor junior engineers, conducting code reviews and fostering a culture of continuous learning.
  • Optimize existing codebases and databases to handle petabyte-scale data streams efficiently.
  • Define technical roadmaps and ensure the stability and security of the project infrastructure.

Qualifications

  • 7+ years of professional software engineering experience with a strong focus on backend systems.
  • Deep expertise in Python, Go, or Java, with a proven track record of building distributed systems.
  • Experience with containerization (Docker/Kubernetes) and cloud platforms (AWS/GCP).
  • Strong understanding of machine learning pipelines and MLOps practices.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.
  • Experience with real-time data processing technologies (Kafka, Flink, or Spark).

Required Skills

Python Go Kubernetes AWS Machine Learning MLOps System Design Docker Kafka

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